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cs.LG2024★ 1 cited
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models
Xing Hu, Yuan Cheng, Dawei Yang +4
Post-training quantization (PTQ) serves as a potent technique to accelerate the inference of large language models (LLMs). Nonetheless, existing works still necessitate a considera…
cs.LG2023★ 2 cited
Learning Stochastic Dynamical System via Flow Map Operator
Yuan Chen, Dongbin Xiu
We present a numerical framework for learning unknown stochastic dynamical systems using measurement data. Termed stochastic flow map learning (sFML), the new framework is an exten…